Labour code impact: Rs 8k less pay likely on 15L CTC

UPI bites deeper into payment cards’ market share

Mars next? Trump honours NASA's moon crew

Developer Builds Browser-Based Byte Decoder to Avoid Third-Party Privacy Risks

A developer has shared a lightweight, client-side tool that decodes raw byte sequences into readable text entirely within the browser, eliminating the need for third-party online decoders. The utility is built using JavaScript's native TextDecoder API and Uint8Array, supporting both decimal and hexadecimal input formats. It is designed for use cases such as debugging network streams, parsing custom file formats, and inspecting database buffers. The tool decodes byte sequences using UTF-8 encoding, making it compatible with modern web standards including emojis and multilingual scripts. By processing all data locally in browser memory, the converter avoids the data privacy risks associated with pasting sensitive byte sequences into external services.

Berlin Faces $2.5M Bitcoin Ransom Demand After Cyberattack Data Breach

The city of Berlin has been targeted by hackers who stole data and are now demanding a ransom, according to the city's mayor. The cybercriminals are demanding 30 bitcoins, equivalent to approximately two million euros or $2.5 million, as reported by German weekly Der Spiegel. The incident constitutes both a data theft and an extortion attempt against the German capital. Berlin authorities have acknowledged the blackmail attempt, with the mayor publicly confirming the cyberattack and its aftermath.

okf-guard Python library scans documents for hidden prompt injection before AI ingestion

A new open-source Python library called okf-guard aims to protect AI agent pipelines from indirect prompt injection attacks embedded in source documents. The tool targets a specific vulnerability where hidden text in common file formats — such as PDFs, Word documents, spreadsheets, and presentations — gets extracted alongside legitimate content and fed to AI systems without distinction. okf-guard supports six file formats and runs two independent checks on each scan: one for hidden content and one for injection-style phrasing, flagging either finding separately. The library is particularly relevant to Google's recently published Open Knowledge Format (OKF), which has AI agents read markdown files directly with no intermediate processing layer. All detection is rule-based and fully deterministic, with no LLM dependency or network calls, making its behavior reproducible and auditable.

NRI inherited property: What can you sell & remit?

Tutorial Proposes Consent-Based Memory Design for AI Voice Companions

A software design tutorial published on DEV Community argues that AI voice companions should treat user memory as a consent ledger rather than a passive prompt history. The approach requires the AI model to propose a typed fact, which the user must explicitly confirm, correct, or reject before it can be stored. Only confirmed records are permitted to enter future prompts sent to a large language model. The design restricts storable data to a small set of bounded slots—such as preferred name, music genre, and chat style—deliberately excluding free-form instructions or sensitive personal data. The tutorial demonstrates the implementation in TypeScript, integrated with Tencent RTC's Conversational AI platform, emphasizing that the application, not the model, should control what becomes durable memory.

Romi Builds In-House OTA Update System Using Capgo and CDN

The team behind Romi has implemented over-the-air (OTA) updates for their app, allowing fixes to be shipped directly to users without waiting for Apple's App Store review process. Rather than subscribing to an existing third-party service, the team chose to build their own OTA infrastructure using Capgo combined with a CDN. The move gives Romi greater control and speed when deploying minor updates. While the end result felt straightforward, the team acknowledged the implementation process presented its own challenges.

X Uncovers 200,000 China-Linked Bots Targeting US AI and Energy Policy Debate

Elon Musk's social media platform X, formerly Twitter, has identified a bot farm of approximately 200,000 accounts linked to China. These accounts were used to spread content aimed at shaping American public opinion on AI and energy policy. The bots promoted narratives claiming that AI data centers drive up electricity costs and overload power grids. The discovery comes shortly after OpenAI reported a similar Chinese influence operation targeting the same policy areas. Both companies have stated their commitment to preserving authentic discourse on their platforms.

Alabama Students Built a Home From 72,000 Recycled Carpet Tiles for Rural Family

Students at Rural Studio in Alabama constructed the Lucy Carpet House using approximately 72,000 donated carpet tiles in 2002. The innovative structure served as both a home and a prayer space for the Harris family. The project was part of Rural Studio's broader mission to address affordable housing challenges in Hale County's rural communities. To date, the program has completed over 200 such projects in the area, giving students valuable hands-on construction and design experience.

Developer Launches Unmuse, an AI Tool That Converts Raw Ideas Into Content

A solo developer has built and released Unmuse, an AI-powered tool designed to help content creators turn rough, unpolished ideas into ready-to-use posts, scripts, or captions. The tool addresses a common pain point where having an idea is simple but crafting it into publishable content requires disproportionate effort. Users input a raw thought, select the type of content they need, and Unmuse generates a usable output. The product is currently an early MVP available at unmuse.online, with the developer planning to add more features based on user feedback. The creator is actively seeking input from content creators on what they find most frustrating about the idea-to-post process.

AI Evolves from Chatbot Assistant to Autonomous Agent in Developer Ecosystem

Artificial intelligence has rapidly shifted from a simple question-and-answer tool to a system capable of autonomously breaking down goals, executing code, and interacting with APIs on behalf of users. Increasingly powerful models from companies like OpenAI drove this transformation, enabling developers to embed AI directly into applications rather than using it as a standalone chatbot. The rise of open-source platforms such as Hugging Face further accelerated adoption by giving developers access to thousands of models, datasets, and libraries. However, this greater autonomy has introduced new security risks, including prompt injection, compromised models, and malicious datasets, as highlighted by incidents like the Hugging Face hack. Developers are now being called upon to design AI systems that are not only capable but also secure, reliable, and responsible.

PM Modi Begins 4-Day Visit to Uzbekistan and Kyrgyzstan to Boost Ties

Prime Minister Narendra Modi departed on Saturday for a four-day diplomatic visit covering two Central Asian nations — Uzbekistan and Kyrgyzstan. The trip is aimed at strengthening India's strategic partnerships in the Central Asian region. Modi expressed confidence that the engagements during the visit would yield positive outcomes for bilateral relations. The visit underscores India's continued focus on deepening its diplomatic and strategic footprint in Central Asia.

Precision Tracking Radar Explained: A Software Architecture Guide for Developers

Precision tracking radar is an active sensing system that continuously estimates a target's position and motion over time, going beyond simple one-shot detection. Unlike a detector, which evaluates each radar update independently, a tracker maintains memory of past measurements to determine how new data relates to existing targets. A well-designed radar pipeline separates detection and tracking into distinct services, making it easier to isolate and debug errors in measurement, association, or coordinate transformation. Developers are advised to define a rich measurement object early, capturing not just position but also timing, coordinate frame, quality metrics, and sensor state. A critical architectural point is that measurement time — when the radar physically captured the data — must be distinguished from the later timestamps of processing and publication, as trackers rely on accurate physical timing for state estimation.

ERD Online lets AI agents read and edit database schemas via MCP protocol

A developer has released ERD Online, an open-source database design tool that integrates with AI coding agents such as Cursor, Claude, and Cline through the Model Context Protocol (MCP). The tool addresses a longstanding gap in database tooling by combining Git-style versioning with real-time collaboration features. Using MCP, AI agents can list projects, retrieve schema data, and propose new versions, but all suggested changes must be reviewed and approved by the human designer before taking effect. This version-controlled approval flow prevents AI agents from silently altering database structures, keeping developers in control. The project is self-hostable, uses an open schema format, and is available on GitHub alongside a live demo requiring no sign-up.

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CareLoop Uses Deterministic Rules and Gemini AI to Automate Clinical Triage

A developer built CareLoop, an autonomous clinical-triage agent, as an entry for the All Things Agentic Hackathon, using Google's Gemini AI, Agent Development Kit, Cloud Run, and Firestore. The system addresses a common problem in clinical settings where doctors have limited time and patients' medical histories are spread across dozens of disorganised documents. CareLoop uses a deterministic rules engine — not an AI model — to make all triage and urgency decisions, ensuring consistent, auditable outcomes every time. Gemini's role is limited to reading unstructured documents into a structured format and generating plain-language summaries for clinicians. The agent also handles autonomous follow-ups, such as medication refill reminders, by writing prescription data back into a patient ledger that drives future actions.

Ex-White House Teleprompter Operator to Pay Rs 60 Lakh in Insider Trading Case

A former teleprompter operator at the White House has agreed to pay approximately Rs 60 lakh to settle insider trading charges. The details of the case emerged on July 16. White House Press Secretary Karoline Leavitt responded to the news, calling it 'unfortunate' and 'a disgrace.' The individual allegedly used privileged access or information gained through their White House role for improper financial gain.

48-Hour AI Stress Test Reveals How Free Models Drift Over Repeated Tasks

A developer ran the same support-ticket classification task against a free AI model every hour for 48 hours to test behavioral consistency rather than raw accuracy. The experiment used ten support tickets and three labels, with each ticket appearing roughly twelve times across the test period. Around the 22-hour mark, the model began misclassifying a ticket and reinforcing its own errors because the prompt fed it recent outputs as memory, causing it to trust stale context over the actual input. Response hashing proved critical, flagging format changes and anomalies that a lenient label parser had silently masked as successful runs. The author concluded that long-running automation depends more on output stability and honest logging than on benchmark performance scores.